Artificial intelligence (AI) and digital technology advances have emerged as catalysts for changing how we diagnose, treat and manage patients. The following collection of AI resources has been curated to support ACC members in understanding and applying AI in the digital transformation of care delivery.
Introduction to AI
How can AI shape health care? Delve into the following resources for insights and perspectives on the role of AI in cardiology.
- AI in Health Care ToolsMaster key assessment criteria to confidently assess AI solutions in healthcare and navigate critical considerations for applying AI in real- world clinical settings.
- Disparities in Artificial Intelligence–Based Tools Among Diverse Minority Populations: Biases, Barriers, and SolutionsExplore how AI biases can deepen health disparities among minority population and why inclusive, representative data is essential for equitable healthcare innovation.
- Embracing Artificial Intelligence in Cardiovascular Disease FellowshipIntegrating AI education into cardiovascular disease training is becoming essential to prepare the next generation of clinicians.
- AI in Cardiology: Improving Outcomes for All | JACCInnovations in science that are reshaping cardiovascular practice.
- Health Equity and AI in Health Systems | JACCThis viewpoint explores how AI can democratize healthcare, while addressing the regulatory and commercial challenges to its successful adoption.
- Prospective Human Validation of AI Interventions in Cardiology: A Scoping Review | JACCExamine AI interventions in cardiology that have undergone prospective validation against expert standards, assessing their effectiveness and identifying opportunities for future research.
- AI: An Opportunity to Revolutionize Health Care?Investigating AI's potential in cardiology.
- AI in Cardiology: I Am RobotExploring how AI is being applied in cardiology and what clinicians need to know to keep pace with future advancements.
- Artificial Intelligence for Cardiovascular Care — Part 1: Advances: JACC Review Topic of the Week | JACC AI's role in improving diagnosis, treatment and outcomes in cardiovascular care.
- Artificial Intelligence in Cardiovascular Care — Part 2: Applications: JACC Review Topic of the Week | JACC Review of recent advancements in AI, focusing on multimodal inputs and generative AI and the broader context of AI-augmented care.
Webinars and Education
The ACC Innovation Program focuses on how advances in AI can support the ACC's Mission to transform cardiovascular care and improve heart health for all. Use the following webinars, workbooks and other educational resources to help implement AI into practice.
- Innovation in Action: Training AI Screening of Cardiac AmyloidosisListen to this podcast to learn more about AI model training, and how to leverage AI for early screening of cardiac amyloidosis.
- Impact of AI on Interventional Cardiology From decision-making aid to advanced interventional procedure assistance.
- Artificial Intelligence in Cardiovascular Clinical Trials – November 2024Discover how AI is transforming clinical trial design, streamlining recruitment and enhancing data interpretation.
- Embracing Generative Artificial Intelligence in Clinical Research and Beyond: Opportunities, Challenges, and Solutions – March 2025Explore how Generative AI is transforming clinical research with real world applications, evolving workflows, and emerging challenges.
- Impact of Artificial Intelligence-Enhanced Insertable Cardiac Monitors on Device Clinic Workflow and Resource Utilization – April 2025Learn how AI integration in insertable cardiac monitors can reduce nonactionable alerts, streamline clinic workflows and enhance resource efficiency.
- Automated Assessment of Right Atrial Pressure from Ultrasound Videos Using Machine LearningThe study aimed to evaluate whether machine learning models can accurately estimate RAP from echocardiogram data.
- Impact of Case and Control Selection on Training AI Screening of Cardiac Amyloidosis (CA)This study evaluates the performance of electrocardiogram waveform-based AI models for CA screening and assesses impact of different criteria for defining cases and controls.
- Navigating the AI Landscape Choosing the right AI tool for your medical practice.
- Novel Utilization of Large Language Models in Care Delivery Integrating AI language models into patient care.
- AI in Cardiovascular Imaging Webinar – Part 1 What every cardiovascular imager should know.
- AI in Cardiovascular Imaging Webinar – Part 2 AI's impact on cardiovascular imaging.
- Point of Care Ultrasound (POCUS) Innovation Workbook Guide to implementing POCUS in clinical settings.
- ACC Anywhere Log in or activate your account to access ACC's on-demand video library. Search "Artificial Intelligence" for curated content from ACC's live meetings and more. †
AI Regulations and Policies
Governments, agencies, and medical societies around the world are increasingly developing policies and principles to guide the implementation and use of AI. Explore key regulations and guidelines from the U.S., E.U. and the World Health Organization (WHO).
- National Institute of Standards and Technology (NIST)'s AI Risk Management Framework (AI RMF)NIST has created the AI Risk Management Framework (AI RMF) to help address risks to individuals, organizations, and society from artificial intelligence. Designed for voluntary use, the framework supports integrating trustworthiness into the design, development, deployment, and evaluation of AI products, services, and systems.
- ACC Comments on Development of an Artificial Intelligence (AI) Action PlanIn response to a request for information issued by the current presidential administration, the ACC emphasized the need for artificial intelligence (AI) policies to maintain clinician autonomy, build public trust, and for regulatory agencies to employ a unified governance strategy.
- America's AI Action PlanA national framework for AI adoption in the U.S., centered on driving innovation, enhancing infrastructure, and influencing global AI standards
- WHO Ethics and Governance of AI for Health Executive Summary
- WHO Ethics and Governance of AI for HealthLarge Multi-modal Models
- ONC's HTI-1 Final RuleThe HTI-1 final rule establishes transparency requirements for AI in certified health IT. The ACC submitted comments on AI transparency and decision support intervention provisions.
- White House Executive Order on REMOVING BARRIERS TO AMERICAN LEADERSHIP IN ARTIFICIAL INTELLIGENCEExecutive Order supporting AI advancement by streamlining regulations and accelerating development.
- National Institute of Standards and Technology (NIST)'s Proposed Zero Draft for a Standard on AI Testing, Evaluation, Verification, and ValidationNIST's AI Standards Zero Drafts project will test a new approach to expand participation and accelerate standards development, ensuring they align with the AI community's needs and drive innovation.
- CPT® Appendix S AI taxonomy for medical services and procedures
- E.U. AI Act AI regulation framework in the E.U.
- E.U. AI Act Tool E.U. AI Act Compliance Checker
The AI Resource Center was created with support from AstraZeneca and Johnson & Johnson.
- †You can access ACC Anywhere with your ACC.org login information.
- ‡ This content was developed independently from the content developed for ACC.org. This content was not reviewed by the ACC and is provided on an "as is" basis. Inclusion on ACC.org does not constitute a guarantee or endorsement by the ACC and ACC makes no warranty that the content is accurate, complete or error-free.
